docker/sbx-releases
Docker Sandboxes run AI coding agents in isolated environments on your machine or on Docker-managed cloud infrastructure
What it solves
Docker Sandboxes provide safe, isolated environments for AI agents to operate autonomously. This prevents agents from accidentally or intentionally putting the host machine or sensitive data at risk when executing code or accessing files.
How it works
It uses Docker-native isolation and containerization principles to create sandboxes with controlled access to the filesystem, network, and tools. It is vendor-neutral, meaning it can be integrated with various AI models and tools like Claude Code, Codex, and Gemini CLI.
Who it’s for
Developers building or using AI agents that need to execute tasks autonomously on a local machine without compromising security.
Highlights
- YOLO mode: Agents can work without needing constant permission requests.
- Private Docker daemon: Includes a dedicated daemon for running test containers.
- Control mechanisms: Fine-grained access controls for both the network and the host-to-sandbox filesystem.
- Broad compatibility: Works with multiple agentic tools including OpenCode, Gemini CLI, and Claude Code.
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